GEN AI for CX
Capgemini Technology Services India Limited
GEN AI for CX
Capgemini Technology Services India Limited
Bengaluru/Bangalore
Not disclosed
Job Details
Job Description
GEN AI for CX | 6 TO 10 YEARS | PAN INDIA
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days arethe same.
Your role
- Lead the end-to-end development and deployment of Agentic AI solutions using frameworks like Autogen, LangGraph, and LangChain.
- Architect and manage scalable AI & Gen AI workflows in any cloud platform.
- Design and optimize multi-agent AI systems, with a focus on autonomous workflows, decision orchestration, and reasoning.
- Collaborate with product managers, data scientists, and other stakeholders to define AI use cases and deliver business value.
- Ensure robustness, performance, and governance in all AI & data-driven systems.
- Mentor and manage a team of AI engineers and data specialists to foster a collaborative and innovative team culture.
Your profile
- 4 to 10 years of experience in Python, Data Engineering, and AI/ML and Gen AI systems.
- Minimum 1 years of hands-on experience with Agentic AI frameworks like Autogen, LangGraph, LangChain.
- Proven experience working with any cloud platform.
- Strong background in LLM-based application development, prompt engineering, and orchestration.
- Demonstrated ability to lead teams, manage project timelines, and deliver scalable AI and Gen AI solutions.
- Familiarity with CI/CD, ML Ops, and cloud-native deployments.
What youll love about working here
- ChoosingCapgemini means having the opportunity to make a difference, whetherfor the worlds leading businesses or for society. It means when the futuredoesnt look as bright as youd like, youhave the opportunity tomake change: torewrite it.
- When you join Capgemini, you dont just start a new job. You become part of something bigger. A diverse collective of free-thinkers, entrepreneurs and experts, all working together to unleash human energy through technology, for an inclusive and sustainable future. You can exponentially grow your career by being part of innovative projects and taking advantage of our extensiveLearning & Development programs. With us, you will experience aninclusive, safe, healthy, andflexible work environment to bring out the bestin you! You also get a chance to make positive social change and build a better world by taking an active role in ourCorporate Social Responsibility andSustainability initiatives. And whilst you make a difference, you will also have a lot offun.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.
Experience Level
Experienced ProfessionalsJob role
Work location
Bangalore
Department
Data Science & Analytics
Role / Category
Data Science & Machine Learning
Employment type
Full Time
Shift
Day Shift
Job requirements
Experience
Min. 4 years
About company
Name
Capgemini Technology Services India Limited
Job posted by Capgemini Technology Services India Limited
This job has expired